Agent skill

Open Dynamic Workflows

by sickn33 in sickn33/agentic-awesome-skills

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

MITAuto-check passedAgent Workflows

Install Open Dynamic Workflows

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills open-dynamic-workflows --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/open-dynamic-workflows .claude/skills/open-dynamic-workflows && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
open-dynamic-workflows
GitHub stars
47k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
427 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

  • Works in 3 steps: Plan → Orchestrate → Adversarially Verify
  • Agent Workflows work in your project
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
  • Calls npm and npx; needs ANTHROPIC_API_KEY

What it does

Open Dynamic Workflows is an agent skill from sickn33/agentic-awesome-skills. Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/open-dynamic-workflows”

Requirements

  • Node.js
  • A credential in ANTHROPIC_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Plan
  2. Orchestrate
  3. Adversarially Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm and npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ANTHROPIC_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Open Dynamic Workflows loads about 1.1k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 427 words, ~1,113 tokens.

Download SKILL.mdSave it as .claude/skills/open-dynamic-workflows/SKILL.md (or your agent's skills folder).
name
open-dynamic-workflows
description
Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.
category
ai-agents
risk
critical
source
community
source_repo
Suraj1235/open-dynamic-workflows
source_type
community
date_added
2026-06-06
author
Suraj1235
tags
multi-agent, orchestration, workflow, adversarial-verification, coding-agents
tools
claude, cursor, codex, gemini, antigravity
license
MIT

Open Dynamic Workflows

Overview

Open Dynamic Workflows (ODW) is an open-source dynamic multi-agent workflow engine for AI coding agents such as OpenCode, Codex, Antigravity, and VS Code. It lets you plan a task, orchestrate multiple agents working in parallel, and adversarially verify their output before it lands. ODW ships a Codex/Antigravity skill folder (SKILL.md plus a daemon bridge) and an OpenCode plugin, and it is bring-your-own-model (Anthropic, OpenAI-compatible, or Ollama). This skill is adapted from the community project at Suraj1235/open-dynamic-workflows.

When to Use This Skill

  • Use when you need to decompose a coding task into independent subtasks and run multiple agents in parallel.
  • Use when working across more than one AI coding tool (OpenCode, Codex, Antigravity, VS Code) and want a single orchestration layer.
  • Use when the user asks for adversarial review or verification of agent-generated changes before merging.

How It Works

Step 1: Plan

ODW takes a high-level goal and produces a dynamic workflow graph of subtasks, identifying which can run in parallel and which have dependencies.

Step 2: Orchestrate

The engine dispatches subtasks to parallel agents through the OpenCode plugin or the Codex/Antigravity daemon bridge, using your configured model provider (Anthropic, OpenAI-compatible, or Ollama).

Step 3: Adversarially Verify

Completed work is routed through an adversarial verification pass that challenges the output before results are synthesized and returned.

Examples

Example 1: Run a parallel workflow

ODW is installed from source (clone the repo, then npm install). The CLI is odw-daemon — run it as npm run odw -- <args> from inside the repo, or as npx odw-daemon <args> / a global odw-daemon if you link the bin.

bash
# Configure your model provider (bring-your-own-model)
export ANTHROPIC_API_KEY=...        # or an OpenAI-compatible / Ollama endpoint

# One-time setup: generate ~/.odw/config.json
npm run setup

# Start the local workflow daemon (once)
npm run odw -- start

# Plan, orchestrate, and verify a task across parallel agents
npm run odw -- run --prompt "refactor the auth module and add tests"
Show full SKILL.md (162 more words)Show less
Example 2: Use the Codex/Antigravity skill bridge
bash
# ODW ships a SKILL.md + daemon bridge consumed by Codex / Antigravity.
# Start the daemon, then run a saved orchestration script through it:
npm run odw -- start
npm run odw -- run --script examples/workflows/studio-prime.workflow.js --cwd .

Best Practices

  • ✅ Scope each subtask so agents can run without shared state.
  • ✅ Keep the adversarial verification pass enabled before merging agent output.
  • ❌ Don't run interdependent subtasks in parallel without declaring their dependencies.
  • ❌ Don't commit provider API keys; use environment variables or a secrets manager.

Limitations

  • This skill does not replace environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, or safety boundaries are missing.

Security & Safety Notes

  • ODW executes agent-generated code and shell commands; run it only in an authorized, local, or sandboxed environment.
  • Model provider credentials (Anthropic / OpenAI-compatible / Ollama) must be supplied via environment variables, never committed to source.
  • Review adversarial-verification output before applying changes to a production branch.

Common Pitfalls

  • Problem: Parallel agents collide on the same files. Solution: Give each subtask exclusive file/module ownership and run conflicting tasks sequentially.
  • @multi-agent-orchestration - When coordinating multiple agents on one goal.
  • @code-review - How adversarial verification complements human review.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/open-dynamic-workflows of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Open Dynamic Workflows next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official37k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k34 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official37k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Open Dynamic Workflows

What does Open Dynamic Workflows do?

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine. Open Dynamic Workflows is an agent skill from sickn33/agentic-awesome-skills. Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

When should I use Open Dynamic Workflows?

Open Dynamic Workflows fits situations like: agent Workflows work in your project.

How do I install Open Dynamic Workflows in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows -a claude-code`. Or copy the skill folder (skills/open-dynamic-workflows in sickn33/agentic-awesome-skills) into .claude/skills/open-dynamic-workflows in your project. Claude Code loads it when a task matches its description.

How do I install Open Dynamic Workflows in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows -a codex`. Or copy the skill folder (skills/open-dynamic-workflows in sickn33/agentic-awesome-skills) into .agents/skills/open-dynamic-workflows in your project. Codex loads it when a task matches its description.

Can I use Open Dynamic Workflows in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/open-dynamic-workflows, .gemini/skills/open-dynamic-workflows, .github/skills/open-dynamic-workflows and .opencode/skills/open-dynamic-workflows in your project.

What does Open Dynamic Workflows need to run?

Going by SKILL.md and its folder, Open Dynamic Workflows needs the command-line tools its instructions call (npm and npx) and credentials named ANTHROPIC_API_KEY. Our summary lists: Node.js; A credential in ANTHROPIC_API_KEY.

Does Open Dynamic Workflows access the network?

SKILL.md contains no URLs. Its commands use npm and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Open Dynamic Workflows safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Open Dynamic Workflows use?

Open Dynamic Workflows is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Open Dynamic Workflows use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Open Dynamic Workflows?

Skills that share tags, products or a category with Open Dynamic Workflows: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Open Dynamic Workflows?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.